HPE Transforms Distributed AI Factories Into Intelligent AI grid Powered by NVIDIA

Key Terms

distributed inference technical

Distributed inference is the process of running a trained artificial intelligence model’s prediction or decision step across multiple computers, devices, or locations instead of a single central server. For investors, it matters because this approach can speed up responses, lower operating costs, reduce reliance on a single data center, and better protect sensitive data — like having several cooks finish a meal at different stations so dishes arrive faster and fresher.

multicloud routing technical

A system for directing data and application traffic across two or more cloud providers so services run smoothly even when one provider is slow or down. Think of it as a traffic controller that chooses the best bridge or lane in real time to keep cars moving; for investors, multicloud routing can reduce downtime, control costs, and lower dependence on a single vendor, all of which affect a company’s operational risk and competitive position.

coherent optics technical

Coherent optics is a technology that uses precise control of light signals to transmit large amounts of data quickly and reliably over long distances. It works like a highly accurate communication system, allowing information to be sent with minimal errors. For investors, it matters because advancements in coherent optics can lead to faster internet connections and better data networks, supporting the growth of digital services and technology industries.

zero-touch provisioning technical

An automated process that lets new hardware or software configure itself and connect to a network without manual setup by IT staff. For investors, it matters because it cuts deployment time and labor costs, reduces errors and downtime, and allows companies to scale services faster—similar to a smartphone that automatically installs settings and apps the first time you turn it on, enabling quicker customer rollout and improved margins.

dpu technical

Distributions per unit (DPU) is the amount of cash or income paid to each unit holder of a trust, real estate investment trust (REIT) or similar pooled investment for a given period. It tells investors how much cash income they received per unit, like getting a fixed slice of a pie for every share you own, and helps compare yield and judge whether the payout level is steady, growing or at risk.

carrier-grade technical

Carrier-grade describes hardware, software or services built to the high reliability, capacity and security standards required by major telecommunications providers. Think of it like industrial-strength equipment meant to run continuously without failure—similar to a commercial airplane compared with a consumer vehicle—and important to investors because carrier-grade products signal lower operational risk, larger contract opportunities and steadier revenue prospects from institutional customers.

New solution has critical application for AI services and use cases that rely on low-latency, real-time connectivity, including retail personalization, predictive maintenance in manufacturing, localized edge inference in healthcare, and carrier-grade AI services

SAN JOSE, Calif.--(BUSINESS WIRE)-- NVIDIA GTC 2026 – HPE (NYSE: HPE) today announced the HPE AI Grid, an end-to-end solution built on the NVIDIA reference architecture to securely connect AI factories and distributed inference clusters across regional and far‑edge sites. The HPE AI Grid enables service providers to deploy and operate thousands of distributed inference sites, turning AI installations into a single intelligent system.

AI‑native applications require predictable, low‑latency, distributed infrastructure. The HPE AI Grid solution, part of NVIDIA AI Computing by HPE portfolio, delivers predictable, ultra‑low latency performance at scale for real‑time AI services, zero‑touch provisioning, and automated security with integrated orchestration.

“We’re redefining how AI is delivered by moving intelligence to where data and users live and making the network the dependable fabric for real-time experiences,” said Rami Rahim, executive vice president, president and general manager, Networking, HPE. “HPE AI Grid with NVIDIA gives service providers a secure, scalable way to operate distributed inference as a single system—delivering predictable, ultra-low latency performance so customers can innovate faster, reduce risk, and create new services.”

“An AI Grid unifies geographically distributed AI clusters to place AI workloads where they run best—balancing performance, cost, and latency across AI factories, regional sites, and the edge,” said Chris Penrose, global vice president, Telco, NVIDIA. “Together with HPE, we’re bringing that vision to life by combining NVIDIA’s accelerated computing and networking with HPE’s telco‑grade multicloud routing and edge infrastructure to create a single, intelligent fabric for distributed inference.”

HPE delivers end-to-end AI grid solution that speeds time to value for deployment

The HPE AI Grid aligns with NVIDIA AI Grid reference architecture to provide a unified hardware and software stack for service providers. The HPE AI Grid is differentiated by HPE’s ability to offer full-stack AI servers and AI networks. The HPE AI Grid includes:

• HPE Juniper’s telco-grade multicloud routing and coherent optics for predictable long-haul and metro connectivity; cloud-native and multi-tenant security; firewalls; WAN automation; and orchestration to deliver zero-touch deployment and lifecycle operations
• HPE ProLiant Compute edge and rack servers with NVIDIA accelerated computing, including NVIDIA RTX PRO 6000 Blackwell GPUs, as well as NVIDIA BlueField DPUs, Spectrum-X Ethernet switches, Connect-X SuperNICs, and AI blueprints for rapid AI inference

HPE AI Grid creates new opportunities for service providers

Service provider use cases—from retail personalization and predictive maintenance to edge healthcare and carrier‑grade AI services—demand predictable, ultra‑low latency connectivity. HPE AI Grid lets operators convert existing sites with power and connectivity into RAN‑ready AI grids, enabling distributed inference and new services at scale.

As part of advancing its AI grid strategy, Comcast announced today new AI field trials on its highly distributed network for real-time edge AI inferencing to unlock faster, more responsive experiences for the next wave of AI applications. The initial trials addressed several use cases, including leveraging HPE ProLiant servers running small language models from Personal AI, part of HPE’s Unleash AI parter program, on NVIDIA GPUs to deliver AI-powered “front desk” services for small businesses.

Industry Reactions to HPE AI Grid with NVIDIA

“HPE and NVIDIA have been strategic partners in building TELUS’ Sovereign AI Factory, Canada’s fastest and most powerful supercomputer, which is enabling researchers, businesses, and institutions to innovate at scale,” said Nazim Benhadid, Executive Vice-president and Chief Technology Officer, TELUS. “As TELUS looks to bring AI closer to customers, advance AI-powered network optimization and deliver faster service, HPE AI Grid powered by NVIDIA is a solution we are interested in exploring further as we continue our transformational AI journey.”

"Our customers increasingly expect millisecond responsiveness, low-latency connectivity and comprehensive security to support their applications and services,” said Neil McRae, CTIO at CityFibre. “We’re exploring how AI Grid from HPE, based on NVIDIA’s reference architecture, could support distributed AI inferencing and bring intelligence closer to users and data. By leveraging our fiber network assets, we see potential to combine high-performance connectivity with intelligent services for customers.”

HPE Financial Services accelerates AI-ready networking and distributed AI infrastructure

To further accelerate adoption of AI‑ready networks and distributed AI infrastructure, HPE Financial Services is also extending its 0% financing on networking AIOps software including HPE Juniper Networking Mist, and its financing providing the equivalent of 10% cash savings on AI‑ready networking leases.

Related Resources:

• Blog: HPE Unveils AI Factory Grid Solution to Securely Scale Edge AI with NVIDIA’s Reference Architecture​
• Blog: Shaping the future: How HPE is evolving its telco strategy
• Press Release: HPE accelerates secure, scalable production-ready AI through new innovations with NVIDIA

Related HPE News:

• HPE accelerates service provider modernization with AI infrastructure innovations at MWC 2026

About HPE

HPE (NYSE: HPE) is a leader in essential enterprise technology, bringing together the power of AI, cloud, and networking to help organizations achieve more. As pioneers of possibility, our innovation and expertise advance the way people live and work. We empower our customers across industries to optimize operational performance, transform data into foresight, and maximize their impact. Unlock your boldest ambitions with HPE. Discover more at www.hpe.com.

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Media Contact:

Victor O’Brien

victor.obrien@hpe.com

Source: Hewlett Packard Enterprise